Research Scientist - World-Action Foundation Model, Robotics

The Research Scientist - World-Action Foundation Model, Robotics role at Applied Intuition involves developing cutting-edge foundation models focused on robotics and real-world action domains. This position is situated within a specialized research team dedicated to advancing artificial intelligence applications in autonomous systems, contributing to the broader mission of Applied Intuition to enhance the future of automation. The company operates at the intersection of software, robotics, and automotive technology, supporting customers ranging from startups to large enterprises.

In this role, the scientist will be responsible for designing, building, and evaluating novel AI and machine learning models tailored to complex robotic tasks. Day-to-day activities include conducting original research, implementing algorithms, collaborating with engineers to deploy systems, and benchmarking model performance on real-world robotics datasets. The position involves actively contributing to scientific publications, presenting findings, and driving the transfer of research breakthroughs into Applied Intuition's commercial products.

Candidates must possess a Ph.D. or equivalent experience in computer science, robotics, machine learning, or a related technical field. Strong programming skills in Python, proficiency in deep learning frameworks, and a solid record of research in robotics or foundation models are essential. The ideal candidate will have both theoretical and practical experience working with large-scale datasets, neural networks, simulation environments, and deployment of ML systems to real hardware platforms.

Applied Intuition offers a competitive compensation package, including equity, comprehensive health insurance, and opportunities for professional growth. Employees benefit from a dynamic and collaborative work environment where impactful research is highly valued and directly translates into deployed technology.